{
 "cells": [
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      " [-2.4099325   0.41092426]\n",
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      " [-2.59873675  1.09314576]\n",
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      " [-2.86624165  0.06936447]\n",
      " [-2.62523805  0.59937002]\n",
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      " [-2.71445143 -0.2502082 ]\n",
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      " [-2.83946217 -0.22794557]\n",
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      " [ 0.18331772 -0.82795901]\n",
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      " [-0.74912267 -1.00489096]\n",
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      " [-0.0087454  -0.72308191]\n",
      " [-0.50784088 -1.26597119]\n",
      " [ 0.51169856 -0.10398124]\n",
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      " [ 0.98493451 -0.12481785]\n",
      " [-0.17392537 -0.25485421]\n",
      " [ 0.92786078  0.46717949]\n",
      " [ 0.66028376 -0.35296967]\n",
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      " [ 0.35788842 -0.06892503]\n",
      " [ 1.29818388 -0.32778731]\n",
      " [ 0.92172892 -0.18273779]\n",
      " [ 0.71485333  0.14905594]\n",
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      " [ 0.81329065 -0.1633503 ]\n",
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      " [ 0.58800644 -0.48428742]\n",
      " [ 0.80685831  0.19418231]\n",
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      " [ 0.81509524 -0.37203706]\n",
      " [ 0.24595768 -0.2685244 ]\n",
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      " [ 0.46480029 -0.67071154]\n",
      " [ 0.8908152  -0.03446444]\n",
      " [ 0.23054802 -0.40438585]\n",
      " [-0.70453176 -1.01224823]\n",
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      " [ 0.64257601  0.01773819]\n",
      " [-0.90646986 -0.75609337]\n",
      " [ 0.29900084 -0.34889781]\n",
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      " [ 2.61667602  0.34390315]\n",
      " [ 1.97153105 -0.1797279 ]\n",
      " [ 2.35000592 -0.04026095]\n",
      " [ 3.39703874  0.55083667]\n",
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      " [ 2.93258707  0.3555    ]\n",
      " [ 2.32122882 -0.2438315 ]\n",
      " [ 2.91675097  0.78279195]\n",
      " [ 1.66177415  0.24222841]\n",
      " [ 1.80340195 -0.21563762]\n",
      " [ 2.1655918   0.21627559]\n",
      " [ 1.34616358 -0.77681835]\n",
      " [ 1.58592822 -0.53964071]\n",
      " [ 1.90445637  0.11925069]\n",
      " [ 1.94968906  0.04194326]\n",
      " [ 3.48705536  1.17573933]\n",
      " [ 3.79564542  0.25732297]\n",
      " [ 1.30079171 -0.76114964]\n",
      " [ 2.42781791  0.37819601]\n",
      " [ 1.19900111 -0.60609153]\n",
      " [ 3.49992004  0.4606741 ]\n",
      " [ 1.38876613 -0.20439933]\n",
      " [ 2.2754305   0.33499061]\n",
      " [ 2.61409047  0.56090136]\n",
      " [ 1.25850816 -0.17970479]\n",
      " [ 1.29113206 -0.11666865]\n",
      " [ 2.12360872 -0.20972948]\n",
      " [ 2.38800302  0.4646398 ]\n",
      " [ 2.84167278  0.37526917]\n",
      " [ 3.23067366  1.37416509]\n",
      " [ 2.15943764 -0.21727758]\n",
      " [ 1.44416124 -0.14341341]\n",
      " [ 1.78129481 -0.49990168]\n",
      " [ 3.07649993  0.68808568]\n",
      " [ 2.14424331  0.1400642 ]\n",
      " [ 1.90509815  0.04930053]\n",
      " [ 1.16932634 -0.16499026]\n",
      " [ 2.10761114  0.37228787]\n",
      " [ 2.31415471  0.18365128]\n",
      " [ 1.9222678   0.40920347]\n",
      " [ 1.41523588 -0.57491635]\n",
      " [ 2.56301338  0.2778626 ]\n",
      " [ 2.41874618  0.3047982 ]\n",
      " [ 1.94410979  0.1875323 ]\n",
      " [ 1.52716661 -0.37531698]\n",
      " [ 1.76434572  0.07885885]\n",
      " [ 1.90094161  0.11662796]\n",
      " [ 1.39018886 -0.28266094]]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.decomposition import PCA\n",
    "from sklearn.datasets import load_iris\n",
    "\n",
    "\n",
    "data = load_iris()\n",
    "n_components = 2 # 将减少后的维度设置为2\n",
    "model = PCA(n_components=n_components)\n",
    "model = model.fit(data.data)\n",
    "print(model.transform(data.data)) # 变换后的数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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